Analysis and Prediction of the Operating Condition of Common Rail Injectors in Diesel Engines under Different Working Conditions Using Experimental Methods Combined with Artificial Intelligence Models

On the morning of May 21, 2026, the School of Mechanical and Automotive Engineering, in collaboration with the Department of Science and Technology (Hanoi University of Industry - HaUI), organized the evaluation and acceptance session for the institutional-level science and technology project entitled: “Analysis and Prediction of the Operating Condition of Common Rail Injectors in Diesel Engines under Different Working Conditions Using Experimental Methods Combined with Artificial Intelligence Models.” The project was led by Dr. Nguyen Xuan Khoa, Vice Dean of the Faculty of Automotive Technology.

The Evaluation and Acceptance Committee was chaired by Dr. Nguyen Anh Ngoc, Vice Rector of the School of Mechanical and Automotive Engineering, with the participation of scientists and experts in the fields of automotive engineering and internal combustion engines.

Dr. Nguyen Anh Ngoc - Vice Rector of the School of Mechanical and Automotive Engineering, HaUI, at the institutional-level project evaluation and acceptance meeting.

In the context of a global automotive industry undergoing profound transformation to meet increasingly stringent requirements for operational efficiency, fuel economy, and emission reduction, the Common Rail fuel injection system in diesel engines plays a particularly important role due to its ability to precisely control injection pressure and timing. However, operating under conditions of high temperature, high pressure, and continuously varying loads makes Common Rail injectors highly susceptible to wear, directly affecting fuel delivery during the combustion process. Therefore, analyzing, evaluating, and proactively predicting the technical condition of injectors has become an urgent issue with significant scientific value and practical importance for production and operation.

The Evaluation and Acceptance Committee evaluating the research outputs of the grassroots-level science and technology project entitled: “Analysis and Prediction of the Operating Condition of Common Rail Injectors in Diesel Engines under Different Working Conditions Using Experimental Methods Combined with Artificial Intelligence Models.”

Reporting before the Committee, Dr. Nguyen Xuan Khoa - Project leader stated that the core objective of the research was to establish both scientific and practical foundation for the application of artificial intelligence in analysis, fault diagnosis, and prediction of the operating condition of Common Rail injectors. To address this reserch problem, the research team implemented a systematic research methodology that closely integrated theoretical studies with in-depth experimentation. The team conducted a comprehensive review of domestic and international studies on Common Rail systems and advanced artificial intelligence algorithms suitable for predictive applications. The research team successfully designed, manufactured, and operated an experimental test bench for measuring the actual injection characteristics of injectors. Measurements and data collection were carried out under various load conditions and operating scenarios. The experimental dataset was then used to train artificial intelligence models, enabling the evaluation of prediction accuracy and optimization of the system’s capability to identify and forecast technical conditions.

Dr. Nguyen Xuan Khoa – Vice Dean of the Faculty of Automotive Technology, School of Mechanical and Automotive Engineering, Project leader presented the research results to the Committee.

After hearing the presentation delivered by the project leader, reviewing the experts’ evaluations, and conducting a direct inspection of the prototype system, the Evaluation and Acceptance Committee deliberated and unanimously agreed that the project met all acceptance requirements.

The Committee recognized the substantial contributions of the research team and highly appreciated their rigorous, innovative and dedicated approach to scientific research. The Committee members remarked that the project is of high scientific merit and reflects a pioneering, breakthrough effort by the faculty of the School of Mechanical and Automotive Engineering in successfully applying artificial intelligence tools to address traditional mechanical engineering problems. From an academic perspective, the project has contributed to opening up a new interdisciplinary research direction for the university. From a practical perspective, the project’s outcomes and predictive models have significant application potential, paving the way for the development of automated fault diagnosis equipment, the optimization of maintenance processes, and the enhancement of operational reliability for diesel-engine commercial vehicles currently operating in Vietnam.

The successful completion of the acceptance review meeting further affirms the correct strategic orientation of the School of Mechanical and Automotive Engineering in promoting scientific research associated with innovation and digital transformation, thereby meeting the development demands of the automotive industry in the new era.

* SOME PHOTOS FROM THE EVALUATION AND ACCEPTANCE SESSION OF THE INSTITUTIONAL-LEVEL SCIENCE AND TECHNOLOGY PROJECT LED BY DR. NGUYEN XUAN KHOA: